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Discover how to build with generative AI using your existing JavaScript skills, from interacting with LLMs to rendering output in the browser.
Explore the fascinating claims about LLMs showing human-like traits, understand why we anthropomorphize these models, and learn how recognizing their true nature helps us utilize them more effectively.
Explore the evolution of AI in software development, from early systems to modern LLMs, with practical examples of implementing intelligent features in your applications and insights into future UI paradigms.
Explore homoglyph-based attacks and their ability to bypass LLM detection systems through character manipulation, tokenization techniques, and emerging security challenges in AI-generated content.
Explore explainable AI methods for LLMs and agents, covering bias challenges, traditional ML to generative AI, implementation risks, and practical integration tips.
Explore the security risks of GenAI in software development, from vulnerable code generation to jailbreaks and data poisoning, with real-world academic insights.
Explore how Vibe Coding transforms software development through AI collaboration, using natural language prompts instead of traditional coding to build applications faster.
Discover how Fine-Grained Authorization secures AI agents and RAG systems, preventing data leakage through contextual permissions with OpenFGA & LangChain implementations.
Explore building AI-powered streaming pipelines for real-time sentiment analysis using Apache Kafka and Flink, comparing LLMs vs SLMs for customer data processing.
Discover how to securely implement Model Context Protocol in .NET applications, integrating authentication, rate limiting, and observability for production-ready LLM systems.
Discover the challenges and lessons learned from building an AI-powered code reviewer prototype, from initial development to production-ready implementation using modern LLMs.
Discover how to implement semantic search using vector embeddings, Azure SQL Database, and .NET to create meaning-based search that goes beyond keyword matching.
Discover how to reverse-engineer data from graph images using computer vision, heuristics, and LLMs for real-world applications beyond tomato tracking.
Discover how to build AI agents with Microsoft's Semantic Kernel SDK, integrating LLMs with real business tasks like email automation, database updates, and ticket ordering through hands-on examples.
Explore Model Context Protocol (MCP) to extend LLMs with real-time access to tools and APIs while maintaining security in production DevOps environments.
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